IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v76y2025ics1544612325002892.html

Vocational education investment and middle-income group expansion in China

Author

Listed:
  • Chen, Qi
  • Li, Xinghai

Abstract

This study examines the relationship between vocational education investment and middle-income group expansion in China through the lens of industrial structure transformation. Using panel data from 25 Chinese provinces across six periods, we employ standard regression and threshold effect models to analyze this complex relationship. Findings reveal that vocational education, particularly at the secondary level, significantly contributes to middle-income group expansion. This study proposes a novel dual-threshold paradigm to show that the efficacy of vocational education investment exhibits linear and nonlinear relationships with industrial structure growth. In particular, we determine a positive correlation with non-agricultural sector growth and an inverted U-shaped relationship with industrial structure optimization. These nuanced findings have important implications for educational investment plans in emerging economies undergoing industrial transformations.

Suggested Citation

  • Chen, Qi & Li, Xinghai, 2025. "Vocational education investment and middle-income group expansion in China," Finance Research Letters, Elsevier, vol. 76(C).
  • Handle: RePEc:eee:finlet:v:76:y:2025:i:c:s1544612325002892
    DOI: 10.1016/j.frl.2025.107025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325002892
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2025.107025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Guo, Dong & Wang, Anyi, 2020. "Is vocational education a good alternative to low-performing students in China," International Journal of Educational Development, Elsevier, vol. 75(C).
    2. Wu, Jianan & Guo, Cheng & Liu, Xiaojing & Dai, Jiapeng, 2025. "Policy-driven employment structure transformation: The role of innovation and education investment," International Review of Economics & Finance, Elsevier, vol. 98(C).
    3. Daron Acemoglu & Pascual Restrepo, 2022. "Tasks, Automation, and the Rise in U.S. Wage Inequality," Econometrica, Econometric Society, vol. 90(5), pages 1973-2016, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Xinjian & Ding, Yihao & Dong, Qiang & Sun, Shuai & Chen, Zhixiao, 2025. "Impact of digital divide on household consumption: Role of mental health and happiness," International Review of Economics & Finance, Elsevier, vol. 99(C).
    2. Shigeru Fujita & Madison Perry, 2024. "Nonworking Parents or Hungry Children," Economic Insights, Federal Reserve Bank of Philadelphia, vol. 9(4), pages 2-9, December.
    3. Kudoh, Noritaka & Miyamoto, Hiroaki, 2025. "Robots, AI, and unemployment," Journal of Economic Dynamics and Control, Elsevier, vol. 174(C).
    4. Jacob, Tinu Iype & Paul, Sunil, 2024. "Labour income share, market power and automation: Evidence from an emerging economy," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 37-45.
    5. Anastasios Evgenidis & Apostolos Fasianos, 2025. "AI news shocks and the macroeconomy: evidence from UK patent data," IFS Working Papers W25/48, Institute for Fiscal Studies.
    6. Jurkat, Anne & Klump, Rainer & Schneider, Florian, 2025. "Robots and wages: A meta-analysis," Structural Change and Economic Dynamics, Elsevier, vol. 75(C), pages 541-567.
    7. Deng, Liuchun & Müller, Steffen & Plümpe, Verena & Stegmaier, Jens, 2024. "Robots, occupations, and worker age: A production-unit analysis of employment," European Economic Review, Elsevier, vol. 170(C).
    8. Melanie Arntz & Sebastian Findeisen & Stephan Maurer & Oliver Schlenker, 2024. "Are we yet sick of new technologies? The unequal health effects of digitalization," CEP Discussion Papers dp1984, Centre for Economic Performance, LSE.
    9. Chen, Juan & Chen, Fuli & Dai, Yufan, 2025. "Media attention and corporate new quality productive forces," International Review of Financial Analysis, Elsevier, vol. 105(C).
    10. Xing, Manjiang & Gong, Chi & Moon, Gyu-Hyen & Ge, Xiaohong, 2025. "Digital economy, dual innovation capability and enterprise labor productivity," International Review of Financial Analysis, Elsevier, vol. 101(C).
    11. Do, Hang & Duong, Kiet Tuan & Huynh, Luu Duc Toan & Vu, Nam T., 2025. "The Real effects of Brexit on labor demand: Evidence from firm-level data," Journal of International Economics, Elsevier, vol. 157(C).
    12. Gallen, Trevor & Kim, Soojin, 2025. "Automation and heterogeneous earnings dynamics," Economics Letters, Elsevier, vol. 255(C).
    13. David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2024. "New Frontiers: The Origins and Content of New Work, 1940–2018," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(3), pages 1399-1465.
    14. Bu, Wei & Yan, Zhongyi & Yang, Shuning, 2025. "Digital economy and corporate sustainability: Mediating roles of green innovation and risk-taking," Finance Research Letters, Elsevier, vol. 78(C).
    15. Yao, Wen, 2025. "Can Chinese investment improve the labor market in the Middle East?," International Review of Economics & Finance, Elsevier, vol. 103(C).
    16. Piotr Lewandowski & Wojciech Szymczak, 2024. "Automation, Trade Unions and Involuntary Atypical Employment," IBS Working Papers 02/2024, Instytut Badan Strukturalnych.
    17. Tian Liu & Lan Liao, 2024. "Can farmers’ digital literacy improve income? Empirical evidence from China," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-14, December.
    18. Gill, Balbinder Singh & Choi, Jongmoo Jay & John, Kose, 2024. "Firm leverage and employee pay: The moderating role of CEO leadership style," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    19. Aziz, Imran & Cortes, Guido Matias, 2021. "Between-group inequality may decline despite a rising skill premium," Labour Economics, Elsevier, vol. 72(C).
    20. Liu, Yuanyang & Tian, Xuemei & Long, Yang, 2025. "Digital economy and corporate ESG performance: Cost reduction or efficiency improvement?," Finance Research Letters, Elsevier, vol. 77(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:76:y:2025:i:c:s1544612325002892. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.